Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.Yeh W.C., An efficient memetic algorithm for the multi-stage supply chain network problem. International Journal ofAdvanced ... integrated forward/reverse logistics network design. Computers aamp; Operations Research, 2010; 37 (6), 1100a1112.
|Title||:||Computational Intelligence Systems in Industrial Engineering|
|Publisher||:||Springer Science & Business Media - 2012-11-05|